Hainiu Xu
许海牛

Pronounced as (hai nyou) 




Room (N) 5.08
Bush House
Strand Campus, 30 Aldwych,
London, WC2B 4BG

Email: hainiu.xu@kcl.ac.uk

Last Updated:
Aug 26, 2024

Hi there! I'm Hainiu, a first-year PhD student at King's College London, affiliated with KCL NLP. I'm fortunate to be supervised by Professor Yulan He (primary, Department of Informatics), Professor Caroline Catmur (secondary, Department of Psychology), and Dr. Jinhua Du (secondary, Huawei London Research Center). My research interest is Character-Centric Narrative Understanding, Theory-of-Mind in particular. My study is supported by an EPSRC-iCASE project jointly funded by UKRI, Huawei London Research Centre, and King's College London.

Before KCL, I was a Master's student at the University of Pennsylvania, where I was supervised by Professor Chris Callison-Burch. During my time at Penn, I worked closely with Li "Harry" Zhang, who is an incoming assistant professor at Drexel University. Prior to that, I completed my undergraduate degree in Statistical Data Science at University of California, Davis, where I worked on Functional Principal Component Analysis and Curve Registration with Professor Jane-Ling Wang.

Previously, I worked as a Research Intern at Huawei London Research Centre, and as an AI Enginner Intern at Schlumberger BGC.

Besides work and research, I enjoy reading detective novels and playing the clarinet. I was a member of the UC Davis Concert Band and the UC Davis Symphony Orchestra. I am also a boardgame enthusiast. I particularly love playing The Resistance: Avalon.

My MBTI is ENTJ.

Education

PhD in Computer Science @ KCL
October 2023 - Present
MSE in Data Science @ UPenn
September 2021 - May 2023
BS in Statistics @ UC Davis
September 2016 - June 2020

Experience

AI Engineer Intern @ Schlumberger BGC
September 2020 - May 2021

Publications

Calibrating LLMs with Preference Optimization on Thought Trees for Generating Rationale in Science Question Scoring
Jiazheng Li, Hainiu Xu, Zhaoyue Sun, Yuxiang Zhou, David West, Cesare Aloisi, Yulan He
EMNLP'24 | Findings of the Association for Computational Linguistics: EMNLP 2024
pdf| abstract| cite

OpenToM : A Comprehensive Benchmark for Evaluating Theory-of-Mind Reasoning Capabilities of Large Language Models
Hainiu Xu, Runcong Zhao, Lixing Zhu, Jinhua Du, Yulan He
ACL'24 | Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics
website| pdf| abstract| cite

Towards Unified Task Embeddings Across Multiple Models: Bridging the Gap for Prompt-Based Large Language Models and Beyond
Xinyu Wang, Hainiu Xu, Lin Gui, Yulan He
ACL'24 | Findings of the Association for Computational Linguistics: ACL 2024
pdf| abstract| cite

Large Language Models Fall Short: Understanding Complex Relationships in Detective Narratives
Runcong Zhao*, Qinglin Zhu*, Hainiu Xu, Jiazheng Li, Yuxiang Zhou, Yulan He, Lin Gui
(* = Equal Contribution)
ACL'24 | Findings of the Association for Computational Linguistics: ACL 2024
pdf| abstract| cite

RAID: A Shared Benchmark for Robust Evaluation of Machine-Generated Text Detectors
Liam Dugan, Alyssa Hwang, Filip Trhlik, Josh Magnus Ludan, Andrew Zhu, Hainiu Xu, Daphne Ippolito, Chris Callison-Burch
ACL'24 | Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics
pdf| abstract| cite

OpenPI2.0: An Improved Dataset for Entity Tracking in Texts
Li Zhang, Hainiu Xu, Abhinav Kommula, Niket Tandon, Chris Callison-Burch
EACL'24 | 18th Conference of the European Chapter of the Association for Computational Linguistics
pdf| abstract| cite

Human-in-the-loop Schema Induction
Tianyi Zhang, Isaac Tham, Zhaoyi Hou, Jiaxuan Ren, Leon Zhou, Hainiu Xu, Li Zhang, Lara Martin, Rotem Dror, Sha Li, Heng Ji, Martha Palmer, Susan Windisch Brown, Reece Suchocki, Chris Callison-Burch ACL'23 | Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)
pdf| abstract| cite

Exploring the Curious Case of Code Prompts
Li Zhang*, Liam Dugan*, Hainiu Xu*, Chris Callison-burch
(* = Equal Contribution)
ACL'23-NLRSE | Proceedings of the 1st Workshop on Natural Language Reasoning and Structured Explanations (NLRSE)
pdf| abstract | cite

Causal Reasoning of Entities and Events in Procedural Texts
Li Zhang*, Hainiu Xu*, Yue Yang, Shuyan Zhou, Weiqiu You, Manni Arora, Chris Callison-Burch
(* = Equal Contribution)
EACL'23 | Findings of the Association for Computational Linguistics: EACL 2023
pdf| abstract| cite| dataset

FINE-GRAINED AND COARSE-GRAINED CAUSAL REASONING IN PROCEDURAL TEXTS
Hainiu Xu
Master's Thesis | Master's Thesis for MSE in Data Science at UPenn
pdf



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